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About the Data in Buildings Performance Database

The BPD is currently the largest publically available source of building energy performance data and contains information about the buildings location, use, and physical and operational characteristics. All of the data in the BPD is real- there is no modeled, anecdotal or default data.

Unlike CBECS and RECS, the BPD is not intended to be a statistically representative sample of the building stock. As a result, the database cannot be used to draw inferences about the underlying local, state, or national building stocks. As the number of buildings in the database increases, we anticipate that the distribution will eventually approach the distribution of the underlying building stock, and we are developing statistical methods to test this hypothesis. The value of the BPD is in its size and in the wealth of data available at the peer group level. BPD users can define and refine peer groups by building type, location, or highly detailed building characteristics and in many cases still yield sizeable peer groups, which is not the case with smaller datasets such as CBECS and RECS.

The value of the BPD depends upon the amount and quality of data it contains. Basic building information and monthly energy consumption data can be used to compare similar buildings and identify high and low performers. Richer data, such as equipment information and interval meter data, will enable statistical analysis of potential retrofit measures and other advanced analysis. The only impediment to additional functionalities and increased levels of analysis in the BPD is the lack of data.

BENEFITS OF CONTRIBUTING DATA

When contributors provide data to BPD, Lawrence Berkeley National Laboratory (LBNL) cleanses the data set to remove errors and outliers, and provides you this cleansed version of your dataset. This also includes translation into the standard Building Energy Data Exchange Specification, identification of errors and outliers, and some basic analysis.  Recognition as a data contributor is optional.

HOW TO CONTRIBUTE DATA

To contribute data, simply contact us at: BuildingsPerformanceDatabase@ee.doe.gov.

Data can be contributed in any electronic format including a secure file transfer through a File Transfer Protocol website or email. Additionally, we can accept data through Energy Star Portfolio Manager account shares. Please see our Data Contribution Best Practices guide for more details.

Each building record must adhere to the minimum field requirements for contribution:

  • City, State, Zip Code
  • Usage type (office, retail, home)
  • Building floor area
  • Year completed
  • Electricity/fuel use for at least one year

But can contain any data field defined by the Building Energy Data Exchange Specification. For those just beginning data collection, please refer to our BPD Priority Fields list, which enumerates fields that were found to have the greatest impact on energy consumption.

ANONYMIZED DATA

To anonymize data prior to entry into the BPD, we strip it of all personally identifiable information such as owner’s name and street address.

Data is made anonymous to protect the privacy of data contributors and allow the sharing of data that would otherwise not have been made public, such as data collected to satisfy benchmarking and disclosure laws.

DATA PREPARTATION

No data is entered directly into the BPD. All data contributions are cleansed and mapped to a standard specification by the Lawrence Berkeley National Laboratory (LBNL) before entry to ensure data quality and robustness in the BPD. Where necessary, derived values are calculated before data is entered into the BPD. Our full data preparation procedures can be found here, and summarized below.

  • Before accepting data, information is gathered regarding the origin of the data to ensure that data is measured and that all building records correspond to real, operational buildings.
  • The mapping step involves translating the raw data fields into a standard data specification, the Building Energy Data Exchange Specification, The mapping process involves: matching raw data field names with the schema field names, translating building and asset types to schema enumerated types, converting data types, parsing text descriptions, and other processes that encodes raw data from providers into a uniform schema. This process ensures that every data field in the BPD holds the same significance for every building record, to enable one-to-one comparisons of data fields across buildings.
  • Cleansing the data includes reviewing consistency within and across data fields. Cleansing is done using various “checks” to verify that data fields are within the realm of possibility based on high level building information, and that database records are internally consistent.
  • The calculation of derived values involves assigning primary facility type, dominant equipment types and calculating energy totals from the data provided. The primary facility type, equipment types and energy totals are values that are used in the BPD tool algorithms and filtering.

DATA SECURITY

Data is analyzed in aggregate which ensures that no one building will ever be able to be identified. Filters allow the user to narrow the peer group down to a minimum of 10 buildings below which no results are shown.

Data contributed to the BPD will never be exposed externally, is protected by law from release under the Freedom of Information Act (FOIA), and will not be shared at the federal level internally. The Database’s security policies align with DOE policies and Information Security best-practices. The website itself employs Secure Sockets Layer (SSL) certificates with 2048-bit RSA encryption which are internationally recognized as the standard for website security.

DATA CONTRIBUTORS

 Public SectorAlachua County Public Schools*
Allegheny College*
Arlington County, VA*
Arvada, CO*
Atlanta, GA*
Beaverton, OR*
Boston, MA*
Camas School District, WA*
Chicago, IL*
Clark County, NV*
Cleveland, OH*
Columbia, MO*
Commonwealth of Massachusetts*
Delaware State University*
Denver, CO*
District Department of the Environment: Washington, DC District of Columbia*
Douglas County School District, NV*
Dysart Unified School District No. 89, AZ*
El Paso, TX*
Fort Atkinson School District, WI*
Fort Worth, TX*
Gillette, WY*
Hall County, GA*
Hillsboro, OR*
Houston Independent School District, TX*
Houston, TX*
Huntington, NY*
Indian River Central School District, NY*
Kauai, HI*
Kentucky Community and Technical College System*
Kitsap County, WA*
Knoxville, TN*
Los Angeles, CA*
Margate, FL*
Medford, MA*
Mesa County Valley School District 51, CO*
Michigan State University*
Milwaukee, WI*
New York City Department of Citywide Administrative Services New York
Power Authority Omaha, NE*
Pennsylvania Keystone HELP Home Energy Loan Program Pittsburgh, PA*
Placer County, CA*
Portland Public Schools, OR*
Poudre School District, CO*
Roanoke, VA*
Rochester, NY*
Sacramento, CA*
San Francisco Department of the Environment
Santa Fe, NM*
Seattle, WA*
Spokane County, WA*
State of California Energy Commission State of California
Public Utilities Commission State of Delaware*
State of Iowa*
State of Maryland*
State of Minnesota*
State of North Carolina*
State of Rhode Island*
Thurston County, WA*
Toledo, OH*
U.S. Energy Information Administration (CBECS and RECS)
U.S. Environmental Protection Agency (Portfolio Manager Engineer-Verified buildings)
U.S. General Services Administration (Federal Buildings)
U.S. Office of Housing and Urban Development University of Arizona
University of California, Irvine*
University of Dayton
University of Hawaii at Manoa*
University of Utah*
University of Virginia*
Vermont Energy Investment Corporation
Virginia Beach City Public Schools
West Palm Beach, FL*
Will County, IL*
Worcester, MA*
 Private SectorAscension Health*
Best Buy*
Brandywine Realty Trust Cleveland Clinic Foundation*
CNT Energy Connexion Asset Group Forest City Enterprises*
HEI Hotels & Resorts*
IHG (InterContinental Hotels Group)*
Jones Lang LaSalle*
Kohl's
Kohl's Department Stores*
Lend Lease*
Liberty Property Trust
Lucid Design Group
Macy's*
New York Presbyterian Hospital*
Parmenter Realty Partners*
Prologis*
Prudential Related RREEF Real Estate*
Shorenstein Properties LLC*
Sprint*
Staples*
Starbucks Coffee Company*
The PNC Financial Services Group*
The Tower Companies*
TIAA-CREF*
Tishman Speyer Transwestern*
University of Pittsburgh Medical Center*
USAA
USAA Real Estate Company*
Walgreens Co.*
Wyndham Worldwide*
 Multifamily ResidentialACTION-Housing, Inc.*
Aeon*
BRIDGE Housing Corporation*
Campus Crest Communities*
Columbia Residential*
Community Housing Partners*
Corcoran Management*
Denver Housing Authority*
EAH Housing, Inc.*
East Bay Asian Local Development Corporation*
Eden Housing*
Forest City Enterprises*
Green Coast Enterprises*
Hispanic Housing Development Corporation*
Homes for America*
Housing Authority of City of Atlanta, GA*
Housing Authority of City of Baltimore, MD*
Housing Authority of City of Bristol, CT*
Housing Authority of City of Buenaventura, CA*
Housing Authority of City of Freeport, IL*
Housing Authority of City of Helena, MT*
Housing Authority of City of Palatka, FL*
Housing Authority of City of Philadelphia, PA*
Housing Authority of City of Tampa, FL*
Housing Authority of Knox County, IN*
Housing Partnership Equity Trust*
Jersey City, NJ Housing Authority*
LINC Housing Corporation*
McCormack Baron Salazar*
Mercy Housing, Inc.*
Multi-Family Mission Ministries*
National Church Residences*
National Housing Trust*
NHP Foundation*
Preservation of Affordable Housing*
REACH CDC*
Retirement Housing Foundation*
Rural Ulster Preservation Company*
Satellite Affordable Housing Associates*
Tenderloin Neighborhood Development Corporation*
The Community Builders, Inc.*
The Economic Development Authority of the City of Mankato, MN*
The Evangelical Lutheran Good Samaritan Society*
The Tower Companies*
TIAA-CREF*
Tonti Properties*
Trinity Management*
Village of Hempstead Housing Authority*
Volunteers of America*
WinnCompanies*

*Better Buildings Challenge